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Marathi is also spoken in Israel and Mauritius. Marathi is an Indo-Aryan language spoken by about 71 million people mainly in the Indian state of Maharashtra and neighbouring states. Marathi is the language spoken by the native people of Maharashtra. Section 4 is devoted to feature extraction. Section 3 gives the proposed methodology. Section 2 discusses the Marathi language Barakhadi characters. In this paper, we are proposing a method to recognise the vowel and consonant part separately for Marathi Barakhadi character using zonal moments and quadratic classifier. Gradient information is sensitive to noise where as moments are robust to high frequency noises as discussed in. Some of these features are also applied on different languages like Bangla, kannada, Gurumukhi etc.
MARATHI BARAKHADI PDF DOWNLOAD CODE
Previous research on HCR for Devanagiri language uses various feature extraction methods such as moments for vowel recognition, capturing directional information using gradient method, chain code histogram and shadow features and, connected component labelling etc. We will be using Marathi Barakhadi characters for the experiment. Marathi Barakhadi characters consist of top, side and bottom modifiers with their nature being curved with straight line existing between or to the sides of the consonants. Very little work is reported on Marathi language Barakhadi characters to the best of our knowledge.
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Researchers have also achieved good recognition accuracy for the basic data set.īecause of the complexity associated with the large data due to the variations in the writing style of different individuals and shape similarity, handwritten character recognition systems are moreĬomplex. Lot of work is being done in this particular area on different Indian languages but the work is limited to basic character set which comprises of vowels and consonants. It aims at automation by reducing the human efforts to a larger extent and to meet various applications like postal automation, office automation etc. Handwritten character recognition is a topic of research in recent years. It helps humans ease their jobs and solve more complex problems. Keywords- Handwritten character recognition Marathi Barakhadi zonal moments classifier feature extraction.Ĭharacter recognition is becoming more and more important in the modern world. These features will be trained and tested for both vowel and consonant recognition using quadratic classifier.
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These features are compressed using principle component analysis and classified using quadratic classifier for consonant recognition.
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Core consonant is divided into various zones and invariant moment features are extracted from each zone. Invariant moment features are extracted from the cut image and classified using quadratic classifier. If no vowel matra found, the image is cut by 20-30% from the bottom for detecting the presence of lower modifiers. Invariant moment features are extracted from the top region and from the side modifiers and classified using quadratic classifier for recognition of vowel matra. The middle region is further processed to detect and separate the side modifiers if any, for vowel recognition. Based on the Devanagiri characters shape analysis and data set, the whole image is split into top region image with information above the header line and middle region image with information below the header line. As the number of characters to be uniquely identified is very large, the proposed method aims at recognizing Marathi language Barakhadi characters by recognizing a vowel and a consonant separately. Very little work is happening on Marathi Barakhadi characters which are formed by the combination of one of the 12 vowels and 36 consonants resulting in 432 characters. Zonal moments based Handwritten Marathi Barakhadi recognitionĪbstract – Handwritten character recognition (HCR) is an important subset within the pattern recognition area.